Crushing Principles of Mechanical Crushing

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    Crushing- Principles of Mechanical Crushing

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    Per Svedensten

    Manager Crushing Chamber and

    Materials Development

    Product Development Center

    Crushing (R&D)

    Master of Science in Mechanics,

    specialized in mechatronics

    Ph.D 2007, Chalmers Universi ty

    Partly funded by Sandvik

    Modeling, simulation and

    optimization of crushing plants

    Technical-EconomicOptimization

    Sandvik employee since 2004

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    Objective

    Explain the interactionbetween

    rock material

    and

    crusher

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    Take home messages

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     Agenda

    Cone Crusher Operating Principal

    Crusher Operation

    Rock Breakage Behavior

    Crushing Forces

    Optimization and Crusher Performance Map Conclusions

    NCC, Borås, Sweden

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    I  m pl   em en t   a t  i   on s 

    Scientific Approach

    Hypothesis / System behavior

    Prediction of performance

    Utilize results for improvement

    Choice of method and/or modeling

    Study and/or prediction of system behavior

    Verification

    Problem / Research Question

    Customer  Values

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    Cone Crusher

    Why Cone Crusher?

    The cone crusher designconcept is an effective and smartway of realizing compressive

    crushing  Aggregate Production

    Mechanical Liberation ofValuable Minerals

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    Product

    Feed

    Power

    Operating Principle

    Heat

    Noise

    Lube

    Oil

    Hydraulic

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    Operating Principle

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    Operating Principle

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    Operating Principle

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    Operating Principal

    Opening Phase == Transport

    Closing Phase == Crushing

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    Transport

    Crushing

    Mantle

    Concave

    Operating Principal

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    Operating Principal

    10 Indentations

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    Crushing

    Mantle

    Concave

    Operating Principal

    Transport

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    Mantle

    Concave

    Crushing

    s

    b

    b: Bed Height

    s: Compression

    s/b: Compression Ratio

    Operating Principal

    Crushing Zone

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    Mantle

    Concave

    Single Particle Breakage SPB

    Inter Particle Breakage IPB

    Operating Principal

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    Operating Principal

    In a cone crusher the stones are crushed with both SPB and IPB as thematerial moves down through the chamber.

    The relative amounts of IPB and SPB depends on factors like chamberdesign, crusher geometry, speed, css, eccentric throw, and others.

    SPB IPB

    Fines Less More

    Shape Flaky Cubic

    Force Low High

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    Operating Principal Capacity

    Cross section area

    0.13 0.14 0.15 0.16 0.17 0.18 0.19 0.2 0.21 0.22-0.9

    -0.8

    -0.7

    -0.6

    -0.5

    -0.4

    -0.3

    -0.2

     

        i

     

     Area [m2]

     Area function

    Choke level

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    Operating Principals

    0.13 0.14 0.15 0.16 0.17 0.18 0.19 0.2 0.21 0.-0.9

    -0.8

    -0.7

    -0.6

    -0.5

    -0.4

    -0.3

    -0.2

    Nominal Cross-Sectional Area

       Y -  c  o  o  r   d   i  n  a   t  e   [

      m   ]

    Area [m2]

    Choke level

    Choke zone

    Capacity

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    Operating Principals

    Standard

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    Crusher operation

     As the market demand shifts can the crusher operation be modified?

    The crusher is likely to be installed for maximum production. Can it bechanged to maximum efficiency?

    Understanding how breakage and capacity is effected by Eccentric Throw

    Speed

    Closed Side Setting

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    Crusher operation

    Running the crusher at different eccentric throws

    ECC 0.6” (16 mm)51 tph

    ECC 1.0” (25 mm)75 tph

    ECC 1.4” (34 mm)97 tph

    -0.08”: 16%

    0.08”-0.5”: 80%+0,5”: 4%Fines/Product: 0.20

    -0.08”: 19%

    0.08”-0.5”: 74%+0,5”: 7%Fines/Product: 0.25

    -0.08”: 20%

    0.08”-0.5”: 73%+0,5”: 7%Fines/Product: 0.27

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    Crusher operation

    Running the crusher at different eccentric throws, CSS optimized

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    16 36

       P   r   o    d   u   c   t   i   o   n    [   %    ]

    ECC [mm]

    Product

    Fines

    Re-circulation

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    Crusher operation

    Running the crusher at different speeds

    280 rpm106 tph

    360 rpm104 tph

    440 rpm96 tph

    -0.08”: 13%

    0.08”-0.5”: 69%+0,5”: 18%Fines/Product: 0.19

    -0.08”: 17%

    0.08”-0.5”: 71%+0,5”: 12%Fines/Product: 0.24

    -0.08”: 21%

    0.08”-0.5”: 71%+0,5”: 8%Fines/Product: 0.30

    Changing speed can have mechanical effects on the crusher and motor

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    Chamber DesignDesign drawings

    FineCoarse

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    Crusher operation

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    Crusher operation

    Chamber selection

    Fine Medium Coarse Extra Coarse

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    Crusher Operation

    Relation between CSS andShape

    The size were the best shapecan be found is at CSS

    It is very difficult for cubicalstones larger then CSS to passthe chamber

    Breakage of stones creates flakyparticles. Smaller flaky stoneswill more easily find its way

    through the chamber

       F  a

      n  e  s  s

      n  e  x   [   %   ]

    Particle size [mm]

    Increasing CSS

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    Crusher Operation

    Relation between Feed size andShape

    The greater reduction ratio theworse particle shape.

    Inter particle breakage improvesshape. When crushing a bed ofmaterial weaker particles willbreak first. Flaky or elongatedparticles are weaker then round.

    Breaking round particles gives

    flaky material.

       F   l  a   k   i  n  e  s  s   i  n   d  e  x   [   %   ]

      Particle size [mm]

     

    Increasing average feed size x

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    OptimumCSS

    Reduction

    Crusher Operation

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     Process Capacity

    Design capacity: 200 tph

    Crusher Capacity: 300 tph

    Choke fed Crusher operation(300 tph):

    Material in surge bin runs out at evenintervals

    Consequence:

    Crusher is operated choke fed 66% oftotal operating time feeding the screen

    with 300 tphScreen overload

    Solution: Adjust throw in order to reach200 tph capacity

    32

    200

    200

    200

    66% Capacityutilization

    300

    300

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    Rock Breakage Behavior

    33

    SPB IPB

    Compression ratio Compression ratioDistribution width

    Laboratory investigation of breakage modes

    Compressive crushing with hydraulic press.

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    Rock Breakage Behavior

    Short fraction

    Long fraction

    Compression ratio

    Packing limit

       S  e   l  e  c   t   i  o  n

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    Rock Breakage Behavior

    Dolerite

    Gneiss

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    Crushing Force

    s

     b

    b: Bed heights: compression

    s/b: compression ratio

    F: ForceF = f(s/b, σ )σ: Fraction length

    F

    F

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    Crushing Force

    ( ) 2 2 2 2 21 2 3 4 5 6, p s a s a s a s a s a s a s

    size distribution width

    σ σ σ σ σ    

    σ  

    ℵ ℵ ℵ ℵ ℵ ℵ ℵ ℵ ℵ ℵ ℵ ℵ

    = + + + + +

    =

    Multi (inter) particle

    -pressure response Packing!

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    Crushing Force

    ( )   ( )32 1 2,   k F s d d k s k s

    s compression ratiod particle size

    ℵ ℵ ℵ

    = +

    =

    =

    0 0.05 0.1 0.15 0.2 0.25 0.3 0.35

    0

    500

    1000

    1500

    2000

    2500

    3000

    3500

    4000

     

    quartzite 16-19

    o tests- simulations

    Single particle

    -force response 

       F  o  r  c  e

       [   N   ]

    Compression ratio

    O ti i ti f Fi l C hi St

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    Optimization of a Final Crushing Stage

    Who is control of your process

    performance? What tools have been provided

    to make the production efficient?

    Optimi ation of a Final Cr shing Stage

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    Optimization of a Final Crushing Stage

    The crushers are the last sizereduction stage in the valuechain.

    Over crushing is common.

    The connection between crushersetting and yield is oftenunknown

    The rock cannot be repaired.

    We need to control the crusher

    carefully.

    O ti i ti f Fi l C hi St

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    Optimization of a Final Crushing Stage

    Optimization of one parameter(CSS) can be done by samplingand analysis

    The invested time and lost

    production will quickly be repaidby increased productivity

    Combine product yield andeconomic aspects

    This can be done by taking

    samples and making theanalysis in MS Excel

    Planning Sampling Analysis Optimization

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    Optimization of a Final Crushing Stage

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    Optimization of a Final Crushing Stage 

    Run the crusher at different settings

    Take at least one sample at eachsetting. (Multiple samples are oftenuseful)

    Special Attention to Safety when takingsamples!!

    Position of point were samples aretaking.

    Ensure that the conveyor will not start byaccident.

    Planning Sampling Analysis Optimization

    Optimization of a Final Crushing Stage

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    Optimization of a Final Crushing Stage

    Particle Size Distribution Plots

    If taking single samples on eachCSS the risk of getting

    inconsistent results might makethe graph look strange.

    Impossible to determine optimumsetting by only using particle size

    distribution graphs

    Planning Sampling Analysis Optimization

    Optimization of a Final Crushing Stage

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    Optimization of a Final Crushing Stage

    If taking single samples on eachCSS the risk of gettinginconsistent results might make

    the graph look strange.

    Impossible to determine optimumsetting by only using particle sizedistribution graphs

    Planning Sampling Analysis Optimization

    Optimization of a Final Crushing Stage

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    0

    10

    2030

    40

    50

    60

    70

    80

    90100

    0.001 0.01 0.1 1 10

      p  e  r  c  e  n   t  p  a  s  s   i  n  g

    sieve size ['']

    Particle Size Distribution at CSS 0.79''

    0,79

    Optimization of a Final Crushing Stage

    0

    50

    100

    150

    200

    250

    0.50 0.60 0.70 0.80 0.90 1.00

       C   a   p   a   c   i   t   y    [   t   p    h    ]

    CSS ['']

    Capacity and CSS

    Planning Sampling Analysis Optimization

    Combine the particle size distribution and capacity.

    Percentage of final product times the capacity gives the production capacity ofeach product.

    Example 0.08’’-0.16’’ mm at CSS 0.79’’:

    Percentage of crusherproduction

     20% - 11% = 9%

    Crusher capacity

    193 tph

    Total Production:

    193 tph x 9% = 17 tph

    Optimization of a Final Crushing Stage

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    Optimization of a Final Crushing Stage

    Entering all the values into MSExcel makes this easy to getproduction capacities.

    Still difficult to determine theoptimal setting

    Planning Sampling Analysis Optimization

    Optimization of a Final Crushing Stage

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    Optimization of a Final Crushing Stage

    Use the price* per ton for allproducts:

    0-0.08’’: $ 0 (by-product)

    0.08-0.16’’: $ 12.30

    0.16-0.32’’: $ 13.85

    0.32-0.64’’: $ 16.90

    0.64-0.87’’: $ 10.80

    Make an income graph bycombining prices with capacity

    Planning Sampling Analysis Optimization

    *All prices are estimates based on publicly available data

    Optimization of a Final Crushing Stage

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    Optimization of a Final Crushing Stage

    What difference does it make?

    Running the crusher 0.08’’ off:

    Decrease the profit by 58.5 $/h

    Running the crusher at 1600hours per year:58.5*1600=$93600

    Planning Sampling Analysis Optimization

    Crusher Performance Map

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    Crusher Performance Map

    Planning Sampling Analysis Optimization

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    Crusher Performance Map

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